Fuzzy Logic Controller of New Strategy of Biomedical Measurements

Author:

El_Mashade Mohamed BakryORCID,Abd Elgawad Yahia Zakria,Nasr Tarek Mahmoud

Abstract

<p class="Abstract">Monitoring patient’s condition represents one of the crucial tasks in any biomedical center to ensure the stability of the patient state. Healthcare sector quality demands are exponentially rising. These demands are concerned with designing expert systems for medical diagnosis. Also, the use of fuzzy sets theory in the medical field is to solve some medical problems.  </p><p class="Abstract">This paper proposes a simple strategy of bio measurements and its behavior through fuzzy logic model. The proposed design is constructed using three different types of data transfer based sensors and microcontroller.</p><p class="Abstract">The fuzzy logic model is designed and practically tested. The generated results are compared to those of the (Omron RS3 - HEM-6130-E Omron mc-246-e) device from OMRON company. Four hundred people aged between 3 and 72 years old were examined by the proposed system. All results are compared using fuzzy logic model in MATLB. Using statistical analysis, the average data measurements for each sensor in the designed device were recorded; the output results were found to be of close enough (less than 1% error) to the reference readings.</p><p class="Abstract">The system can be used at home due to its low cost, easy to use, and high accuracy.</p>

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP;International Journal of Online and Biomedical Engineering (iJOE);2024-05-06

2. A novel and advanced control method based on Fuzzy-PI for joint wear simulators;Open Research Europe;2024-01-08

3. New Method to Implement and Analysis of Medical System in Real Time;Healthcare;2022-07-21

4. Hybrid Mean Fuzzy Approach for Attention Detection;International Journal of Online and Biomedical Engineering (iJOE);2021-06-25

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